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* Go: Update generated wrapper functions for TensorFlow ops.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160341769
* Add checkpoint conversion for models that use the attention mechanism ↵Gravatar A. Unique TensorFlower2017-06-27
| | | | | | implemented in tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py. PiperOrigin-RevId: 160340994
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160340888
* Fix bugs in ScatterNd and add ScatterNdNonAliasingAdd.Gravatar Eugene Brevdo2017-06-27
| | | | | | | | | tf.scatter_nd_non_aliasing_add acts similarly to tf.scatter_nd_add but works on non-ref objects (i.e., Tensors -- not Variables). This means it has a gradient with respect to the primary input as well as the updates. It does its best to avoid making extra copies of the input. PiperOrigin-RevId: 160339328
* Internal change.Gravatar Dandelion Man?2017-06-27
| | | | PiperOrigin-RevId: 160339087
* Add note about `tf.test.mock` to docs for `tf.test`Gravatar Mark Daoust2017-06-27
| | | | PiperOrigin-RevId: 160338811
* Add name_scopes to mnist_deep.py for a cleaner graph layout.Gravatar Mark Daoust2017-06-27
| | | | PiperOrigin-RevId: 160338775
* Minor cleanup: remove unused dependencies and inclusionsGravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160334030
* Make ResourceHandle not be a protoGravatar Geoffrey Irving2017-06-27
| | | | | | | I'm trying to make core/kernels independent of protos. Currently the dtype ResourceHandle is itself a proto. After this CL, ResourceHandle is a normal C++ type which gets converted to/from ResourceHandleProto at (de)serialization time. RELNOTES: n/a PiperOrigin-RevId: 160329002
* Readd the new tensors and variables documents, with tests passing.Gravatar Alexandre Passos2017-06-27
| | | | PiperOrigin-RevId: 160324191
* Moves TensorCApi from c_api.cc to c_api_internal.h, where it can be usedGravatar A. Unique TensorFlower2017-06-27
| | | | | | by other code that require access to the underlying TensorBuffers. PiperOrigin-RevId: 160323362
* tfdbg: revert dns:/// prefix in gRPC modeGravatar Shanqing Cai2017-06-27
| | | | PiperOrigin-RevId: 160319348
* Add a time estimation to HloCostAnalysis and represent properties as a map ↵Gravatar Bjarke Hammersholt Roune2017-06-27
| | | | | | so that adding more properties will be easier, e.g. in a sub-class. PiperOrigin-RevId: 160318494
* tfdbg doc: fixes and improvementsGravatar Shanqing Cai2017-06-27
| | | | PiperOrigin-RevId: 160318411
* TESTFIX: distributions:trig_test wasn't passing in ASAN mode.Gravatar Ian Langmore2017-06-27
| | | | PiperOrigin-RevId: 160315597
* Automated g4 rollback of changelist 159454657Gravatar Yangzihao Wang2017-06-27
| | | | PiperOrigin-RevId: 160314706
* Migrate TensorForest v4 python to contrib.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160308805
* Update path to print_selective_registration_header.py in commentGravatar Brian Williammee2017-06-27
| | | | PiperOrigin-RevId: 160308173
* Add more tests for BatchNormTraining.Gravatar A. Unique TensorFlower2017-06-27
| | | | | | RELNOTES: n/a PiperOrigin-RevId: 160307959
* Use C API to implement Operation._output_typesGravatar A. Unique TensorFlower2017-06-27
| | | | | | | This change first converts the _output_types member to a property and then implements it using C API if it is enabled. PiperOrigin-RevId: 160306227
* Updates more text classification examples in examples/learn.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160305131
* Added more reduce window tests.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160301509
* [XLA] Remove "operand" argument from HandleReducePrecision.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160301461
* Cudnn compatible LSTMCell and LSTMBlockCellGravatar James Qin2017-06-27
| | | | PiperOrigin-RevId: 160300668
* Add a functionality of remote fused graph transformation to fuse graphs by ↵Gravatar A. Unique TensorFlower2017-06-27
| | | | | | op type PiperOrigin-RevId: 160300039
* [TF:XLA] Reject operators with resource outputs on CPU and GPU devices.Gravatar Peter Hawkins2017-06-27
| | | | | | We were checking for resource inputs but not resource outputs, which led to accidental fusion of some TensorArray ops on CPU and GPU. PiperOrigin-RevId: 160294302
* Shrink the test size to avoid OOM error on old GPUs.Gravatar Yangzihao Wang2017-06-27
| | | | PiperOrigin-RevId: 160292834
* Fix documentation of Estimator class (invalid quotes).Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160292803
* [SE] ThenConvolveWithAlgorithm vlogs algorithm configs.Gravatar Jingyue Wu2017-06-27
| | | | PiperOrigin-RevId: 160292762
* tfdbg example: fix --tensor_size issue in debug_fibonacciGravatar Shanqing Cai2017-06-27
| | | | PiperOrigin-RevId: 160290541
* [TF:XLA] Update Tensorflow LLVM release to upstream r306370.Gravatar Peter Hawkins2017-06-27
| | | | | | Fix broken XLA build. PiperOrigin-RevId: 160284588
* Fix uninitialized values in TensorForest code.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160284420
* [TF:XLA] Refactor the sigmoid op as a rescaled tanh.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160282472
* [XLA] Remove the "hlo dumper" parameter of xla::Compiler and its piping.Gravatar Eli Bendersky2017-06-27
| | | | | | | | | This dumper is no longer necessary since the restructuring of HLO dumping and the addition of MaybeDumpHloModule which heeds to the right flags. The remaining bits didn't have additional functionality, but constituted a lot of boilerplate that has to be propagated throughout the backends. PiperOrigin-RevId: 160281798
* Clean out the config and params in TPUEstimator.Gravatar Jianwei Xie2017-06-27
| | | | PiperOrigin-RevId: 160281507
* Fixed the bug that Estimator does not make deepcopy of params in constructorGravatar Jianwei Xie2017-06-27
| | | | PiperOrigin-RevId: 160281247
* Automated g4 rollback of changelist 160278032Gravatar Geoffrey Irving2017-06-27
| | | | PiperOrigin-RevId: 160280961
* Updates some more examples in examples/learn.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160278757
* [XLA] Add tuple support to Literal::CreateFromShape.Gravatar Peter Hawkins2017-06-27
| | | | PiperOrigin-RevId: 160278561
* Don't include node_def.proto.h in node_def_util.hGravatar Geoffrey Irving2017-06-27
| | | | | | | The goal is to make kernels mostly independent of proto headers, which will let us lock down our .so imports. RELNOTES: n/a PiperOrigin-RevId: 160278032
* Add RWSE (root weighted squared error) to the WALS estimator.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160276937
* Explicitly use "dns" URI scheme when using DNS names or literal IPGravatar A. Unique TensorFlower2017-06-27
| | | | | | | addresses with gRPC. This avoids problems in environments in which the default URI scheme is something other than "dns". PiperOrigin-RevId: 160276862
* Make sure all convolution tests are testing non-trivial cases, i.e. where ↵Gravatar A. Unique TensorFlower2017-06-27
| | | | | | | | | not all inputs are 0, leading to an all-0 output, which masks most possible bugs. We do not check-fail on 0-sized dimensions as tests for these special cases exist. PiperOrigin-RevId: 160274593
* [TF:XLA] Inline the sigmoid operation instead of mapping it elementwise.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160274436
* Automated g4 rollback of changelist 155070869Gravatar Peter Hawkins2017-06-27
| | | | PiperOrigin-RevId: 160249526
* Lets the HParam parser also accept True and False as inputs, since that's ↵Gravatar A. Unique TensorFlower2017-06-26
| | | | | | how python prints booleans. PiperOrigin-RevId: 160234658
* Automated g4 rollback of changelist 160196550Gravatar A. Unique TensorFlower2017-06-26
| | | | PiperOrigin-RevId: 160222942
* Automated g4 rollback of changelist 160196566Gravatar A. Unique TensorFlower2017-06-26
| | | | PiperOrigin-RevId: 160222930
* [XLA] Simplify the fusion heuristicGravatar David Majnemer2017-06-26
| | | | | | | | | | | | We had two different aspects of the fusion heuristic: - Don't fuse a producer into a consumer if there exists a path from the producer to the consumer which cannot be fused. - Don't fuse a producer into a consumer if any consumer of the producer cannot fuse. These can be combined into one, simpler, heuristic. PiperOrigin-RevId: 160222771
* Support advisor in all places (Command line, APIs)Gravatar A. Unique TensorFlower2017-06-26
| | | | | | Add expensive operation checker PiperOrigin-RevId: 160222348
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